KDB / Q – Lead Software Engineer – Vice President

Overview

In this Lead Software Engineer role, you join a cross-functional, agile Data Analytics team to build trusted market-leading technology for cross-asset market data using KDB, as we migrate to AWS and embark on greenfield projects. You will shape scalable real-time and historical data solutions, drive code quality and operational stability, and mentor peers. This position offers impact through architecture decisions and collaboration with stakeholders to deliver high-value data capabilities in a secure environment.

Responsibilities

• Develop secure, production-grade software and troubleshoot complex problems
• Lead design reviews, code reviews, and optimization across KDB-based solutions
• Identify and automate recurring issues to improve reliability
• Foster communities of practice and promote new technologies
• Contribute to team culture, diversity, equity, and inclusion
• Develop core systems and frameworks based on KDB
• Manage a book of work and lead SDLC improvements
• Build scalable real-time processing solutions in an agile setting
• Partner with stakeholders to capture requirements and deliver solutions
• Collaborate with application support to maintain platforms

Key requirements

• Formal training or certification in software engineering concepts
• Hands-on experience in system design, application development, testing, and operational reliability
• Proficiency in automation and continuous delivery methods
• Strong understanding of the Software Development Life Cycle and agile methodologies (CI/CD, security, resiliency)
• Development lead experience: requirements capture, task decomposition, delivery planning, testing, user acceptance testing
• Deep understanding of KDB and Q language with at least 7 years of KDB experience, plus 2+ years in a lead role
• Experience with KDB+tick data design, large datasets, query optimization, and scaling KDB apps
• Experience building resilient, high-availability KDB applications

• leadership and mentoring
• stakeholder collaboration
• problem solving
• KDB and Q language
• KDB+tick data design
• real-time data processing

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